Evidence map›Paper›PMID 31616039›Full record

ArticleScientific reports2019

Metabolite-related dietary patterns and the development of islet autoimmunity.

Randi K Johnson, Lauren Vanderlinden, Brian C DeFelice, Katerina Kechris, Ulla Uusitalo, Oliver Fiehn, Marci Sontag, Tessa Crume, Andreas Beyerlein, Åke Lernmark and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 39 citations in OpenAlex.

  1. Trial
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  7. Exposure to persistent organic pollutants alters the serum metabolome in non-obese diabetic mice.Metabolomics : Official journal of the Metabolomic Society · 2022
    Article
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  17. Interpreting the lipidome: bioinformatic approaches to embrace the complexity.Metabolomics : Official journal of the Metabolomic Society · 2021
    Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 19 institutions in 5 countries.

Randi K JohnsonDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA.ORCID http://orcid.org/0000-0001-9345-4439
Lauren VanderlindenDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA.
Brian C DeFeliceUC Davis Genome Center-Metabolomics, University of California Davis, Davis, USA.
Katerina KechrisDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA.
Ulla UusitaloHealth Informatics Institute, University of South Florida, Tampa, USA.ORCID http://orcid.org/0000-0001-9132-7727
Oliver FiehnUC Davis Genome Center-Metabolomics, University of California Davis, Davis, USA.ORCID http://orcid.org/0000-0002-6261-8928
Marci SontagDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA.
Tessa CrumeDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA.
Andreas BeyerleinInstitute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Åke LernmarkDepartment of Clinical Sciences, Lund University/CRC, Lund, Sweden.ORCID http://orcid.org/0000-0003-1735-0499
Jorma ToppariDepartment of Pediatrics, Turku University Hospital, Turku, Finland.ORCID http://orcid.org/0000-0003-2228-334X
Anette-G ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München, and Klinikum rechts der Isar, Technische Universität München, and Forschergruppe Diabetes e.V., Neuherberg, Germany.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, Augusta University, Augusta, USA.
William HagopianPacific Northwest Diabetes Institute, Seattle, USA.
Marian RewersBarbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, USA.
Beena AkolkarNational Institutes of Diabetes and Digestive and Kidney Disorders, National Institutes of Health, Bethesda, USA.
Jeffrey KrischerHealth Informatics Institute, University of South Florida, Tampa, USA.
Suvi M VirtanenNational Institute for Health and Welfare, Tampere, Finland.
Jill M NorrisDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, USA. Jill.norris@cuanschutz.edu.
TEDDY Study Group
University of South Florida · USLund University · SETampere University · FIPacific Northwest Diabetes Research Institute · USTUM Klinikum · DEUniversity of Colorado Anschutz Medical Campus · USOulu University Hospital · FIAugusta University · USTurku University Hospital · FIUniversity of California, Davis · USUniversity of Bristol · GBColorado School of Public Health · USUniversity of Florida · USFisher Bioservices (United States) · USFlorida State University · USNational Institute of Allergy and Infectious Diseases · USUniversity of Bonn · DENational Institutes of Health · USUniversity of Turku · FI

Funding

Data Coordinating Center (DCC)for the Consortium for Identification of EnvironmenUC4DK095300 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2011 to 2011
$56.0M
Data Coordinating CenterU01DK063790 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2002 to 2006
$50.1M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
NIDDK Follow-up on Subjects and Immunological Assessments in The Environmental Determinants of Diabetes In The Young Study (TEDDY) (UC4)UC4DK117483 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2017 to 2020
$30.4M
Establish a Data Coordinating Center (DCC) for the Consortium for Identification UC4DK100238 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2014 to 2014
$28.9M
The Study of Epigenetics and Infections in The Environmental Determinants of Diabetes in the Young (TEDDY)UC4DK112243 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2016 to 2016
$27.0M
Data Coordinating Center (DCC) for the Consortium for Identification of Environmental Determinants of Diabetes in the Young (TEDDY) StudyUC4DK106955 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2015 to 2015
$20.0M
The Environmental Determinants of Diabetes in Young (TEDDY0U01DK063863 · NIDDK · HOSPITAL DISTRICT OF SOUTHWEST FINLAND · PI TOPPARI, JORMA · 2003 to 2022
$13.5M
The Environmental Triggers of Diabetes (TEDDY) in SwedenU01DK063861 · NIDDK · UNIVERSITY OF WASHINGTON · PI LERNMARK, AKE · 2003 to 2022
$13.4M
THE TEDDY STUDY - COLORADO CLINICAL CENTERU01DK063821 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 2003 to 2022
$12.3M
The TEDDY Study: Georgia/Florida Clinical CenterU01DK063865 · NIDDK · MEDICAL COLLEGE OF GEORGIA (MCG) · PI MCINDOE, RICHARD A. · 2003 to 2022
$12.3M
UF Clinical and Translational Science AwardUL1TR000064 · NCATS · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2012 to 2014
$12.2M
NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR001082NIDDK NIH HHS HHSN267200700014CNIDDK NIH HHS R01 DK104351NIDDK NIH HHS U01 DK063790NIDDK NIH HHS U01 DK063821NIDDK NIH HHS U01 DK063829NIDDK NIH HHS U01 DK063836NIDDK NIH HHS U01 DK063861NIDDK NIH HHS U01 DK063863NIDDK NIH HHS U01 DK063865NIDDK NIH HHS UC4 DK063821NIDDK NIH HHS UC4 DK063829NIDDK NIH HHS UC4 DK063836NIDDK NIH HHS UC4 DK063861NIDDK NIH HHS UC4 DK063863NIDDK NIH HHS UC4 DK063865NIDDK NIH HHS UC4 DK095300NIDDK NIH HHS UC4 DK100238NIDDK NIH HHS UC4 DK106955NIDDK NIH HHS UC4 DK112243NIDDK NIH HHS UC4 DK117483U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (National Institute of Diabetes & Digestive & Kidney Diseases) R01-DK104351
6 · The paper itself

Abstract

The role of diet in type 1 diabetes development is poorly understood. Metabolites, which reflect dietary response, may help elucidate this role. We explored metabolomics and lipidomics differences between 352 cases of islet autoimmunity (IA) and controls in the TEDDY (The Environmental Determinants of Diabetes in the Young) study. We created dietary patterns reflecting pre-IA metabolite differences between groups and examined their association with IA. Secondary outcomes included IA cases positive for multiple autoantibodies (mAb+). The association of 853 plasma metabolites with outcomes was tested at seroconversion to IA, just prior to seroconversion, and during infancy. Key compounds in enriched metabolite sets were used to create dietary patterns reflecting metabolite composition, which were then tested for association with outcomes in the nested case-control subset and the full TEDDY cohort. Unsaturated phosphatidylcholines, sphingomyelins, phosphatidylethanolamines, glucosylceramides, and phospholipid ethers in infancy were inversely associated with mAb+ risk, while dicarboxylic acids were associated with an increased risk. An infancy dietary pattern representing higher levels of unsaturated phosphatidylcholines and phospholipid ethers, and lower sphingomyelins was protective for mAb+ in the nested case-control study only. Characterization of this high-risk infant metabolomics profile may help shape the future of early diagnosis or prevention efforts.

Indexed as

AutoantibodiesAutoimmunityCase-Control StudiesChildChild Nutritional Physiological PhenomenaChild, PreschoolDiabetes Mellitus, Type 1Early DiagnosisFemaleFollow-Up StudiesHumansInfantIslets of LangerhansLipid MetabolismMaleMetabolomicsAutoantibodies

Identifiers

PMID31616039
PMCPMC6794249
OpenAlexW2980558323

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.